First 10 Hires for Startup Teams: Sequence and Scorecards
Your first ten hires define how the company works for years. Hire the wrong specialists too early and you create overhead and silos. Hire generalists who can unblock revenue and the product first, with a written scorecard for each seat. Here is a sequence that fits most software startups.
TL;DR
- Early hires should widen what the founders can ship and sell, not narrow it into functions.
- Hire generalists with high ownership first, and bring in specialists when a measurable bottleneck demands one.
- Write a scorecard before you interview: the outcomes the role must deliver in 6 to 12 months and the traits that predict them.
- With AI tools raising each person's output, judgment and ownership matter more than raw typing speed.
- Fix hiring mistakes quickly. A wrong hire at ten people is a large share of the company.
The principle: hire to widen, not to narrow
At two or three people, everyone does everything. Each early hire should expand what the company can do and keep the learning loop with customers fast. The most common mistake is hiring a specialist because the role exists in bigger companies, such as a head of marketing with no channel to run. You pay a senior salary for a job the company cannot yet define.
A typical sequence
This is a pattern, not a rule. Adjust it to your founders’ strengths.
| Hire | Why then | What to look for |
|---|---|---|
| 1. Generalist engineer | Ship more of the product without founders being the bottleneck | Ownership, product sense, comfort with ambiguity |
| 2. Second engineer or full-stack builder | Redundancy and speed | Complements the first on skills and judgment |
| 3. Customer-facing generalist | Learn from users and onboard accounts | Communication, curiosity, patience |
| 4. Product designer or design-minded engineer | The product is how customers meet you | Practical craft, comfort with constraints |
| 5. First go-to-market hire | Test whether selling can repeat | Hunger, structure, willingness to build from scratch |
| 6 to 7. More engineering or data | Remove technical constraints | Depth where the product needs it |
| 8. Operations or finance support | Keep the company healthy | Reliability, attention to detail |
| 9 to 10. Specialists where metrics demand | A measured bottleneck exists | Proven expertise in that area |
If your product leans on AI, add someone who can evaluate model behaviour and cost early. See the guidance in AI-native survival.
Write the scorecard first
Before posting the role, define:
- Mission: one sentence on why the role exists.
- Outcomes: three to five results the person should deliver in 6 to 12 months, such as “reduce time to first value to under ten minutes”.
- Competencies: the skills and traits needed, ranked by importance.
- Evidence: how each will be checked, through a work sample, a structured interview, reference calls.
Interview all candidates against the same scorecard. Compare notes on outcomes, not on whether you liked them.
Interview for what the job really is
Early-stage roles are messy. Test for:
- Ownership. Ask for a time they finished something nobody asked for.
- Judgment. Present a real decision the company faced and see how they reason.
- Learning speed. Give a short work task in an unfamiliar area.
- Fit with how you work, such as writing, async habits and feedback style.
For engineers, a paid, realistic work trial for a few days often tells you more than a puzzle interview. With AI tools in daily use, check how candidates verify output as well as how they write it. This ties to the argument in Proton’s AI reckoning: hire people who can verify and own outcomes.
Compensation and equity
Be honest about the trade. Early employees accept lower cash for equity and scope. Explain the equity in plain terms: percentage, vesting, what dilution can look like. Pay fairly for the market so people can focus on the work. Revisit grants as the company grows.
Onboarding the first ten
A written first week matters more than a perfect handbook. Give each person a clear first outcome, an owner for questions and early access to customers. Pair new hires with a founder on a real task, and set a 30-60-90 plan tied to the scorecard.
Avoid these mistakes
- Hiring for the company you want in two years instead of the one you have.
- Specialists too soon, who need teams and processes you do not have.
- No scorecard, so each interviewer judges something different.
- Friends without a trial. Great friendships do not guarantee great working relationships.
- Slow fixes. If a hire is not working after a fair chance and clear feedback, act quickly and kindly.
What comes next
By ten, the founders cannot manage everyone directly. The next stage is covered in scaling from 10 to 20, and the sales-specific transition in founder-led sales handoff. Align goals using a shared north star metric and OKRs.
Reference-call questions that work
Reference calls are most useful when you ask about specifics:
- What were the two or three most important things this person delivered?
- When did they take ownership without being asked?
- How did they handle disagreement or tough feedback?
- What did they need from a manager to do their best work?
- Would you hire them again, and for what kind of role?
Ask for references from peers and people who reported to them as well as managers. Patterns across calls matter more than any single comment.
Your next step
Write the scorecard for your next hire before you speak to any candidate. Share it with the founders and ask whether each outcome is measurable. If you cannot describe success in six months, the role is not ready to hire for.
Bottom line
Hire generalists who widen what the company can do, bring in specialists only for measured bottlenecks, and write a scorecard before every search. Check for ownership and judgment, correct mistakes fast, and treat each of the first ten as a founding decision.
Frequently Asked Questions
Who should be the first hire?
The person who removes the biggest constraint on learning from customers. For a technical founder that is often someone who can sell or run customer success. For a business founder it is often a strong engineer who can ship end to end.
How many engineers do I need for an MVP?
Often one to three, depending on scope. Fewer, more senior people usually move faster early on than a larger junior team, and AI coding tools raise what a small team can ship, though they raise the importance of review.
Should I hire a head of sales or an account executive first?
Usually neither. Founders sell until a playbook exists, then hire one or two reps to test whether it transfers. The handoff process is covered in our founder-led sales guide.
What is a hiring scorecard?
A one-page document listing the mission of the role, three to five measurable outcomes, the required competencies and what you will check in each interview stage. It reduces gut-feel hiring and makes feedback comparable.
